摘要
体三维显示是三维显示领域重要研究方向,当处理带凹陷体的点云数据时,凹陷体区域无法正确判定导致对应区域的颜色无法正常显示,会对显示精度造成严重影响。为了解决点云中凹陷体判定问题,为点云数据中的凹陷体作规范化定义,并根据凹陷体的空间特点提出点云数据凹陷体判定(PCDD)算法。算法将点云体素化,之后根据凹陷体区域体素的属性特征判断可能属于凹陷体的体素征并通过空间连通性原理进行凹陷体体素分割,得到各个独立不相连的凹陷体并求出边界。实验结果表明,该算法可以稳定地判定出点云数据中的凹陷体,解决了凹陷体的判定问题,也为后续的凹陷体区域颜色映射打下基础。
Volume 3D display is an important research direction in the field of 3D display.When processing point cloud data with depressions,the depression area cannot be determined accurately which will affect the display effect.In order to solve the problem of determining the depression in the point cloud,a standard definition of depressions in the point cloud was proposed and then a PCDD algorithm to determine the depressions was proposed.The algorithm first achieved the voxelization of the point cloud and then determined the voxels that may belong to the depressions based on the attributes of the voxels in depression area.After that,the depressions were separated based on the connectivity rule and the boundary of each depression was found.The experiment result shows that the algorithm can determine the depressions of the point cloud data stably and provides a solution to determine the depressions in the point cloud.Besides,it also lays the foundation for subsequent color mapping of the depression area.
作者
杨作威
车明
Yang Zuowei;Che Ming(School of Intelligence and Computing,Tianjin University,Tianjin 300350,China)
出处
《计算机应用与软件》
北大核心
2022年第1期271-274,327,共5页
Computer Applications and Software
基金
国家科技支撑计划项目(2012BAJ24B04)。
作者简介
杨作威,硕士,主研领域:计算机图形学;车明,副教授。
